{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Checkpoint Inspector\n",
    "\n",
    "Loads folders of `json` checkpoints dumped by `train.lua` and visualizes training statistics."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "from scipy.misc import imread, imresize\n",
    "import os\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10, 10)\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# utility functions\n",
    "\n",
    "def smooth(ys, alpha=0.9):\n",
    "    \"\"\" take a list of numbers (ys) and do exponential smoothing \"\"\"\n",
    "    y2 = []\n",
    "    acc = None\n",
    "    for y in ys:\n",
    "        if acc is None:\n",
    "            acc = y\n",
    "        else:\n",
    "            acc = alpha * acc + (1-alpha) * y\n",
    "        y2.append(acc)\n",
    "    return y2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of jsons:  5\n",
      "loaded  5\n"
     ]
    },
    {
     "data": {
      "image/png": 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sP2G39vpoHNk4H7mhIfCOBfAEgGSHcqz/Gl/vH4wh59+FO2Lqr3sUC1MSVeI0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\n+P9Yx5TbuBOBIwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8580aef250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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dA7wZh3FEZD8TX5w2HBjes+9F9XdWbThmWYtzLl7VsOmWTnVvX111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\nRERERERa0P8BBm7SzhwFRbAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f857f8bedd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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esXhERERERERERAEnNycnpDU8/FZnTMzXipOS5h5YtSo+qaGh64KKikOXFhVtSoqICH/n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\nJEmSJEka6392OR1q9c2t8wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8580cbe690>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "root = 'checkpoints'\n",
    "files = os.listdir(root)\n",
    "jsons = [x for x in files if x[-4:] == 'json']\n",
    "print 'number of jsons: ', len(jsons)\n",
    "\n",
    "blobs = [json.load(open(os.path.join(root,jp))) for jp in jsons]\n",
    "print 'loaded ', len(blobs)\n",
    "\n",
    "for b in blobs:\n",
    "    if 'val_lang_stats_history' in b:\n",
    "        b['val_lang'] = {k:v['CIDEr'] for k,v in b['val_lang_stats_history'].iteritems()}\n",
    "\n",
    "optim_to_color = {'sgd':'r', 'rmsprop':'b', 'adam':'g'}\n",
    "for key in ['loss_history', 'val_loss_history', 'val_lang']:\n",
    "    # draw the training loss functions\n",
    "    plt.figure(figsize=(20,5))\n",
    "    maxx = 0\n",
    "    for b in blobs:\n",
    "        xs = sorted([int(x) for x in b[key].keys()])\n",
    "        ys = [b[key][str(x)] for x in xs]\n",
    "        ys = smooth(ys,{'loss_history':0.99, 'val_loss_history':0, 'val_lang':0}[key])\n",
    "        c = optim_to_color[b['opt']['optim']]\n",
    "        plt.plot(xs,ys,'-o')\n",
    "        maxx = max(maxx, max(xs))\n",
    "    plt.title(key)\n",
    "#    if 'loss' in key:\n",
    "#        plt.axis([0, maxx, 2.3, 2.4])\n",
    "#    if 'lang' in key:\n",
    "#        plt.axis([0, maxx, 0.8, 0.9])\n",
    "    \n",
    "    plt.minorticks_on()\n",
    "    plt.grid(b=True, which='both', color='gray', linestyle='-')\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f857f30b9d0>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f857f3c7e50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# lets look at the correlation between val loss and cider score\n",
    "xs,ys = [],[]\n",
    "for b in blobs:\n",
    "    for i in b['val_loss_history'].keys():\n",
    "        x = b['val_loss_history'][i]\n",
    "        y = b['val_lang'][i]\n",
    "        if x > 2.8: continue # skip\n",
    "        xs.append(x)\n",
    "        ys.append(y)\n",
    "    \n",
    "plt.figure(figsize=(5,5))\n",
    "plt.scatter(xs,ys)\n",
    "plt.xlabel('validation loss')\n",
    "plt.ylabel('cider score')\n",
    "plt.title('correlation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# find the best performance for each blob\n",
    "for b in blobs:\n",
    "    xs = sorted([int(x) for x in b['val_lang'].keys()])\n",
    "    ys = [b['val_lang'][str(x)] for x in xs]\n",
    "    b['best_val'] = max(ys)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cross-validated: \n",
      "[u'grad_clip']\n"
     ]
    }
   ],
   "source": [
    "# find all the keys that were being cross-validated\n",
    "ban = ['gpuid', 'seed', 'id', 'start_from']\n",
    "keys = list(set(k for k in b['opt'] for b in blobs))\n",
    "cvd = []\n",
    "for k in keys:\n",
    "    if k in ban: continue\n",
    "    vals = list(set(b['opt'][k] for b in blobs if k in b['opt']))\n",
    "    if len(vals) > 1: cvd.append(k)\n",
    "print 'cross-validated: '\n",
    "print cvd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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8JMl64FHgzcClM9XUNqrqm0n2JfnRqvoa3Yc190+3YlVtn0PNkvQD+sHUrqPtJNfOZzup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\nGoaiJDUMRUlqGIqS1DAUJalhKEpS4/8DrVdErcamz+QAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f858108fc10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import math\n",
    "plot_ban = ['optim']\n",
    "plot_style = {'cnn_learning_rate':'log', 'learning_rate':'log', 'optim_alpha':'flat', 'optim_beta':'flat'}\n",
    "optim_filter = 'adam'\n",
    "for k in cvd:\n",
    "    if k in plot_ban: continue\n",
    "        \n",
    "    xy = [(b['opt'][k], b['best_val']) for b in blobs if b['opt']['optim'] == optim_filter]\n",
    "    xs,ys = zip(*xy)\n",
    "    \n",
    "    p = plot_style.get(k, 'flat')\n",
    "    if p == 'log':\n",
    "        xs = [math.log10(x) if x != 0 else 0 for x in xs]\n",
    "    \n",
    "    plt.figure(figsize=(5,5))\n",
    "    plt.scatter(xs, ys)\n",
    "    plt.title(k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.156000: (grad_clip: 0.001), (cnn_optim: adam), (id: 1-82-1447996828)\n",
      "----------------------------------------------------------\n",
      "0.172000: (grad_clip: 0.0001), (cnn_optim: adam), (id: 0-310-1447996826)\n",
      "----------------------------------------------------------\n",
      "0.214000: (grad_clip: 0.01), (cnn_optim: adam), (id: 2-704-1447996830)\n",
      "----------------------------------------------------------\n",
      "0.219000: (grad_clip: 0.1), (cnn_optim: adam), (id: 3-636-1447996832)\n",
      "----------------------------------------------------------\n",
      "0.219000: (grad_clip: 1), (cnn_optim: adam), (id: 4-791-1447996834)\n",
      "----------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "# print the best blobs in order\n",
    "bs = [(b['best_val'], b['opt']) for b in blobs]\n",
    "bs.sort()\n",
    "print_keys = cvd + ['cnn_optim', 'id']\n",
    "for vb in bs[:50]:\n",
    "    s = ', '.join( '(%s: %s)' % (k, vb[1].get(k, '')) for k in print_keys)\n",
    "    print '%f: %s' % (vb[0], s)\n",
    "    print '----------------------------------------------------------'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
